Consensus analysis of associated target-biomarker pairs in cancers

The heterogeneity of cancers limits the reproducibility anticancer target-biomarker associations in diverse cohorts or sample groups. Here, we carried out consensus analyses cancer omics data to find improved consistency (reproducibility) prognostic power biomarkers and potential targets. Overall, ∼74% RNA expression patient samples were exclusively found a single lineage, most them did not pass cross-validation within given lineage. Prognostic (i.e., biomarker) showing subtype also tend exhibit high other lineages. In analysis association between CRISPR knockout cell lines, lineage increased sh/siRNA knockdown qPCR experiment. From this study, that was useful prioritize reproducible combinations from data. It has been implemented Q-omics software (http://qomics.sookmyung.ac.kr) for general oncology research. No conflict interest.